Information processing apparatus, method, and program using...

Data processing: artificial intelligence – Neural network

Reexamination Certificate

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C700S031000, C703S009000

Reexamination Certificate

active

07877338

ABSTRACT:
An information processing apparatus, includes a lower time series data generation unit having a plurality of recurrent neural networks which learn predetermined time series data, and generating prediction time series data. An upper time series data generation unit has recurrent neural networks which learn error time series data that is time series data of errors raised at the time of the learning by the respective plural recurrent neural networks of the lower time series data generation unit. Generation of prediction error time series data that is time series data of prediction errors; and a conversion unit that performs nonlinear conversion for the prediction errors generated by the upper time series data generation unit. The lower time series data generation unit outputs the prediction time series data according to the prediction errors.

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patent: 11 126198 (1999-05-01), None
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patent: 2005 135287 (2005-05-01), None
Syuji Kaneko et al., “Representing the bifurcation structure of BVP neuron model onto a self-organising map by using modular network SOM (mnSOM)”; Institute of Electronics, Information and Communication Engineers technical study reports vol. 104, Japan, Corporate judicial person Institute of Electronics, Information and Communication Engineers, Nov. 19, 2004 p. 29.

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